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Predicting Older Adults' Continued Computer Use After Initial Adoption.

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Summary
This summary is machine-generated.

Predicting sustained computer use in older adults is crucial. While factors like perceived usefulness and self-efficacy change, they do not predict continued engagement, highlighting gaps in current technology acceptance models.

Keywords:
AdherenceDigital divideInformation system continuanceUnified theory of acceptance and use of technology (UTAUT)

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Area of Science:

  • Gerontology
  • Human-Computer Interaction
  • Digital Health

Background:

  • Sustained computer and internet use offer significant benefits for older adults.
  • Understanding factors influencing continued technology adoption is critical for this demographic.
  • Attitudes and experiences evolve post-adoption, necessitating dynamic analysis.

Purpose of the Study:

  • To model changes in constructs related to computer use after initial adoption.
  • To examine if these evolving factors predict continued computer use in older adults.

Main Methods:

  • Longitudinal study of 150 older adults (mean age 76.15) over 12 months.
  • Measured technology acceptance factors (usefulness, ease of use, interest, self-efficacy, anxiety) at baseline, 6 months, and post-test.
  • Employed latent change score models to analyze predictor changes and their relationship with use.

Main Results:

  • Significant interindividual differences observed in how individual difference factors changed over time.
  • Changes in perceived usefulness, ease of use, interest, self-efficacy, and anxiety were correlated with, but not predictive of, changes in computer use.
  • Existing technology acceptance constructs showed limited predictive power for sustained use.

Conclusions:

  • Popular technology acceptance models have limitations in predicting sustained computer use among older adults.
  • Further research is needed to identify more robust predictors of continued engagement.
  • This study identifies critical knowledge gaps for future investigations into digital inclusion for seniors.